LifeCLEF 2016 : multimedia life species identification challenges

Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; et al.

Using multimedia identification tools is considered as one of the most promising solutions to help bridge the taxonomic gap and build accurate knowledge of the identity, the geographic distribution and the evolution of living species. Large and structured communities of nature observers (e.g., iSpot, Xeno-canto, Tela Botanica, etc.) as well as big monitoring equipment have actually started to produce outstanding collections of multimedia records. Unfortunately, the performance of the state-of-the-art analysis techniques on such data is still not well understood and is far from reaching real world requirements. The LifeCLEF lab proposes to evaluate these challenges around 3 tasks related to multimedia information retrieval and fine-grained classification problems in 3 domains. Each task is based on large volumes of real-world data and the measured challenges are defined in collaboration with biologists and environmental stakeholders to reflect realistic usage scenarios. For each task, we report the methodology, the data sets as well as the results and the main outcomes.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Evora, Portugal, 5-8 September 2016
Date:
Evora, Portugal
5-8 September 2016
2016
Pagination:
pp. 286-310
Published in:
Experimental IR Meets Multilinguality, Multimodality, and Interaction : Proceedings of the 7th International Conference of CLEF Association (CLEF) 2016
Series Statement:
Lecture Notes in Computer Science, no. 9822
DOI:
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2016-09-28, last modified 2019-06-11

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